Which Frontier AI platform is your favorite and why?
...what if you could get them all to work together, inside the job, not just 'around the job'?
That's what we've built at https://t.co/7jpL0DrZKe We're new but we're building!
#ai#infrastructure#artificialintelligence
@elonmusk@Jason 100%. The scary part is, can our legislature keep up with the technology and protect the people who wont have anywhere to go. We can eventually get there I think but we need to protect the people asap.
@psomkar1 Hey man, whatever fits your goals. If you want ot be in the thick of AI development with massive resources to boot, that sounds like a definite path to do so.
@KaiXCreator Love it, its about serving the greater good. If theres a paycheck attached, cool. However, leaving an imprint that you improved someone elses life is the true win.
@sama I'll have to check it out! I've been on Grok and Local LLM's for awhile. but I have also been enjoying Moonshot's Kimi K2.6 alot. I'll check it out!
@justbyte_ Itll be close. Every now and then one of them leapfrogs the other. Kimi K2.6 just had a wild benchmark come out when they launched. I would say whomever hits the top around August of this year will be solid for a long time.
@elonmusk Yeah Grok works wonders.
The models are moving at such a wild pace now. I alternate between Grok and local LLM's for my needs for the most part. You should see what we're doing over here @elonmusk ;)
@AnthropicAI The AI interest in the world has barely even TOUCHED what it will be in 3-5 years. China wants to stay on top of this, but the west is who should be maximizing efforts in AI. We need to ensure AI grows, but grows in the ideal it can support everyone.
We're looking to serve AI Developers like @OpenAI@xai@AnthropicAI@NVIDIAAI and streamline their functionality. Our Proof of Concept has shown significant gains and allows more headroom at the inference layer of AI which saves money, especially in the datacenter fight today.
Meet https://t.co/UneKXcwTih.
We help hyperscalers and datacenters get more out of the AI infrastructure they've already deployed. Patent-pending, proprietary tech. No rip-and-replace.
Less new hardware. More from what you have.
Let's talk. #AI#Infrastructure#Technology